AI Solutions Developer For Cybersecurity

About Business line/Function

ITG International is a Group function established recently (2019) in ISPL with presence in Mumbai, Chennai and Bangalore. We collaborate with various business lines of the Group to provide IT Services.

BNP PARIBAS, the leading bank in the European Union and a leading international player, is seeking to complement and reinforce its existing teams in the areas of IT risk management, cybersecurity and the fight against digital fraud.

Within IT Group, Informatics Directorate of BNP Paribas, the Cybersecurity & Digital Fraud (CDF) Department's mission aims to structure, strengthen and harmonize IT risk management and cybersecurity for the overall BNP Paribas Group (approximately 30 entities) and:

- defining the vision and strategy for IT risk management and cybersecurity, and ensuring the implementation of this strategy within the Groups operating entities

- monitoring the security of the Group's information systems

- steering the IT Continuity and Resilience strategy and methodological framework

The evolving Cyber threats landscape increases the security risk of financial sector, that leads BNP Paribas to strengthen its Cybersecurity maturity, IT risk management and Operational Resilience.

The AI department within the CDF teams aims to upskill the teams in charge of Cyber and Fraud Detection with new AI tools to improve tools and increase productivity. The objective is to achieve AI empowerment within CDF.

The AI Solution Developer will be responsible for developing AI-based solutions to enhance the capabilities of the Cyber and Fraud Detection teams. This role involves working closely with subject matter experts to adapt tools and continuously improve them based on user feedback. The developer will leverage Python and associated libraries to build and deploy machine learning models and user interfaces.

Responsibilities

• Develop and deploy AI-based solutions using Python.
• Build user interfaces using Streamlit, Gradio, Flask, and other relevant frameworks.
• Collaborate with subject matter experts to understand requirements and adapt tools accordingly.
• Implement ETL (extract transform load) processes to manage and transform data.
• Use libraries such as pandas and scikit-learn for data manipulation and machine learning tasks.
• Continuously improve tools based on user feedback and data insights.

• Support the AI department in upskilling the Cyber and Fraud Detection teams.
• Assist in the integration of new AI tools and technologies.
• Provide technical guidance and support to team members.

Technical and Behavioural Skills

• Proficiency in Python programming.
• Knowledge of Large Language Models (LLMs) and machine learning.
• Experience with Streamlit, Gradio, and Flask for building interfaces.
• Understanding of the data lifecycle and the ability to use user feedback for continuous improvement.
• Knowledge of ETL processes.
• Familiarity with pandas and scikit-learn libraries.
• Strong collaboration and teamwork skills.
• Attention to detail and rigor.
• Adaptability and ability to manage change.
• Excellent oral and written communication skills.

Specific Qualifications

• Bachelor Degree or equivalent in Computer Science, Data Science, or related field.
• Interest in AI/ML development and deployment.
• Experience with cross-cultural & international working environment.

Behavioural Skills

• Creativity & Innovation / Problem solving
• Active listening
• Ability to collaborate / Teamwork
• Client focused

Transversal Skills

• Ability to understand, explain and support change
• Analytical Ability
• Ability to set up relevant performance indicators

Education Level:

Bachelor Degree or equivalent

Experience Level

8 to 13 Years